Guilherme Medeiros Machado
ABSTRACT
Learning Path Recommender Systems (LPRS) are systems that make recommendations of learning resources to be consumed in a determined sequence. Such kind of recommendation is useful in scenarios where we need to personalize the learning especially when the students need to be guided faced an overwhelming amount of resources. LPRS are gaining more attention in the last years because of the popularity of e-learning, and such need to guide, motivate and engage students in big data scenarios. The systematic mapping proposed in this paper tries to understand how LPRS are done and how they are evaluated. Our findings suggest that the papers use mostly content-based algorithms and there is a lack of discussion on explainable and trustworthy LPRS.
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Digital Library
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Index Terms
- Learning Path Recommender Systems: A Systematic Mapping
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